Waste Management废物管理
Waste Management(英文缩写 WASTE MANAGE),ISSN 0956-053X,eISSN 1879-2456,中文译名:废物管理 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 8.816 | Q1 |
| 2022 | 8.100 | Q1 |
| 2023 | 7.100 | Q1 |
| 2024 | 7.100 | Q1 |
| 2025 | 7.300 | Q1 |
Waste Management 最新收录文献
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1. Advancing quality of recycling assessment: a new multidimensional indicator streamlining computation and communication.
PMID:日期:2026-10-02While the importance of high-quality recycling is emphasized in European acquis, assessing the quality of recycling remains a challenge. Advancing recent work on the subject, a new multidimensional indicator is presented and applied to the case of two waste materials of the Construction and Demolition Sector: glass and brick. The indicator assesses the quality of recycling considering three dimensions (Technical, Temporal, and Environmental) providing a qualitative outcome. A 3D diagram is developed where each axis represents one of the three dimensions such that the space under study is totally included in a cube. Each of the three axes of the cube is divided into two sections via a threshold value, resulting in eight sub-cubes corresponding to eight qualitative levels of quality. The results for the two case studies show the potential of the indicator. Concerning glass, two pathways were evaluated: a closed-loop process (flat glass-to-flat glass) and an open-loop process (flat glass-to-recycled aggregates). When the indicator is applied, the former option resulted in a High-Quality level, whereas the latter in a Low-Quality one. For the bricks, three different open-loop recycling pathways were assessed: replacement of cement, recycled aggregates, and alkaline activation. The recycled aggregates pathway resulted in a Medium-High-Quality 3 level, whereas the other pathways in a High-Quality one. Since it can be applied to any combination of recycling pathways and waste material fractions, the indicator shows potential to function as a decision-support tool for industry and policymakers, building on and advancing previous attempts by streamlining calculation and communication.
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2. Composting rural kitchen waste for nutrient recovery and runoff pollution mitigation: a Bayesian modeling approach.
2. 农村餐厨垃圾堆肥用于养分回收与径流污染缓解：一种贝叶斯建模方法PMID:日期:2026-10-02In China's ecologically sensitive Erhai Basin, open-dumped rural kitchen waste causes both nutrient loss and water quality degradation. Here we integrate household surveys, on-site composting experiments, and a Bayesian dual-pool wash-off model in a pilot case study of six villages. The model extends urban stormwater concepts to solid organic waste, providing probabilistic estimates of both nutrient recovery and pollution mitigation within a single framework. Results reveal substantial spatiotemporal variability in waste generation: total village-level kitchen waste varied approximately three-fold across villages, driven primarily by differences in permanent population, while per-capita rates were largely consistent (0.16-0.23 kg/person/day). On-site aerobic composting retained over two-thirds of initial total nitrogen and over 90% of initial total phosphorus, yet a supply-demand mismatch across villages limited fertilizer substitution to 10-73%. Under open-exposure conditions, kitchen waste contributed median annual loads of 64.6 kg N/yr (95% CI: 34.5-99.6) and 31.0 kg P/yr (95% CI: 17.0-48.6). Losses concentrated in the wet season and scaled with population, enabling spatial prioritization. As a single-basin pilot study, these probabilistic estimates provide a risk-based foundation for integrating nutrient recovery and runoff pollution mitigation in watershed management, though the findings require region-specific calibration and validation before broader application.
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3. Sustainability trade-offs in sludge-to-energy systems: a process-resolved assessment of thermal hydrolysis pre-treatment.
3. 污泥能源化系统中的可持续性权衡：热水解预处理的过程解析评估PMID:日期:2026-10-02Thermal hydrolysis pre-treatment (THP) is increasingly integrated into sludge-to-energy systems to enhance energy recovery, yet its environmental performance remains uncertain because most life cycle assessments (LCAs) treat these systems as aggregated units, limiting the representation of process-level interactions and environmental trade-offs. This study evaluates THP at 60, 80, and 120 °C in a sludge-to-energy system by propagating experimentally derived process changes through an integrated framework that combines process modelling, LCA, and techno-economic analysis. THP at 120 °C improved system performance, increasing energy output by 43 % after accounting for thermal and electrical demands, heat recovery, and losses, while reducing operational costs by 31 %. However, these gains varied across environmental categories. Environmental assessment showed reductions across non-climate impact categories due to increased energy substitution and reduced chemical and transport requirements, while global warming impacts were influenced by methane leakage and thermal demand. Nitrogen-related emissions gained importance at higher THP temperatures, particularly for stratospheric ozone depletion. Sensitivity analysis showed that controlling fugitive methane emissions can reduce global warming impacts by up to 82 %, whereas heat integration had a smaller influence. Impact categories were governed by different mechanisms, including methane leakage, thermal demand, nitrogen removal, chemical consumption, and energy substitution. Results were highly sensitive to background dataset selection, with consequential heat datasets altering the magnitude and direction of several impact categories. These findings demonstrate that evaluating THP solely through global warming can overlook system-level trade-offs, highlighting the value of integrated modelling and multi-category assessment for greenhouse-gas mitigation and sustainable sludge management.
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4. Removal characteristics of perfluorinated and polyfluoroalkyl substances in municipal sludge during thermal treatment.
4. 市政污泥热处理过程中全氟和多氟烷基物质的去除特征PMID:日期:2026-10-01Effective management of perfluorinated and polyfluoroalkyl substances (PFASs) in municipal sludge is crucial for mitigating environmental pollution. In this study, an analytical method based on solid-phase extraction (SPE) coupled with ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was employed to analyze the 17 PFASs in solid matrices. The removal characteristics of the 17 PFASs in sludge under various thermal treatment conditions were quantitatively compared, and the effects of key factors including thermal treatment temperature, atmosphere, and oxygen concentration were systematically analyzed. The results found that thermal treatment at moderate temperatures effectively removed PFASs from sludge under both nitrogen and air atmospheres. At 500 ℃, nearly complete removal of 17 PFASs (>99%) was achieved within 30 min. Temperature is the primary controlling factor for the removal of PFASs in municipal sludge during thermal treatment. Within the 100-300 ℃ range, incineration exhibited superior removal performance compared to pyrolysis, whereas the difference in removal efficiency between incineration and pyrolysis narrowed when the temperature exceeded 400 ℃. Below 400 ℃, increasing the oxygen concentration can further improve the removal efficiency of total PFASs in sludge. At the same thermal treatment temperature, an air atmosphere can achieve near-optimal PFASs removal efficiency in sludge. The removal of PFASs from the solid phase of the sludge observed in this study is attributed to the combined effects of volatilization and thermal degradation. This study analyzes in depth the critical "temperature-atmosphere window" for PFASs removal, providing theoretical support for the effective removal of PFASs during the thermal treatment of municipal sludge.
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5. Manganese slag promotes the breakdown of lignin into polyphenols to regulate humus formation in chicken manure composting.
5. 锰渣促进木质素分解为多酚，从而调控鸡粪堆肥中腐殖质的形成PMID:日期:2026-09-29Lignin degradation produces a phenol-rich aromatic backbone, which serves as a link between various metabolic processes and is often referred to as "polyphenols"; it is central to humus formation via the polyphenol pathway. The incorporation of manganese slag into chicken manure and sugarcane bagasse composting produced conditions favorable for lignin breakdown and the formation of humic substances via the polyphenol route, manifested in accelerated heating and elevated temperatures. This resulted in a 329.49 %, 15.55 %, and 33.72 % increase in the relative abundances of Thermobifida, Bacillus and Truepera, When compared with the control group (CK), the T group exhibited a 16.95 % higher degradation rate of lignin, a 19.83 % higher content of humus (HS), and peak activity gains of 5.88 % for laccase and 12.36 % for polyphenol oxidase. In addition, the abundance of a set of polyphenol pathway-related genes (including ligM, lac, ppo, vanAB, and pobA) was also upregulated. Additionally, a significant positive correlation was observed between the relative abundance of polyphenol‑pathway genes and humification parameters, suggesting that the polyphenol pathway acts as a bridge connecting lignin degradation to humus formation. This study suggests that the addition of manganese slag to chicken manure and sugarcane bagasse compost primarily controls lignin degradation and humus formation by altering the composting environment and key microorganisms, thereby regulating enzymatic metabolic processes, which provides a theoretical basis for the relationship between polyphenol sources in compost and humus formation via the polyphenol pathway.
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6. Thermochemical valorisation of sheep manure into bio-oil for asphalt binder modification.
6. 将羊粪热化学转化为生物油用于沥青结合料改性PMID:日期:2026-09-29Sheep manure is an abundant biogenic residue with potential as a renewable feedstock for producing value-added materials through thermochemical conversion. This study investigates the valorisation of sheep manure by slow pyrolysis to obtain a bio-oil suitable for use as a bio-based modifier in bituminous binders. Physicochemical characterisation showed that the recovered BO had a pH of 4.8, 2.20 wt% water, and 30.33 wt% oxygen, with ketones dominating the GC-MS profile. The sheep-manure-derived bio-oil was incorporated into a conventional B50/70 bitumen at 3, 6, and 9 wt%, and its performance was compared with that of a commercial additive. The modified binders were evaluated using dynamic shear rheometer, multiple-stress creep-recovery, linear amplitude sweep, binder yield energy, and elastic recovery tests, supported by Burgers-model fitting. The bio-oil produced a clear dosage-dependent softening effect, reducing the complex modulus, complex viscosity, and elastic contribution of the binder. At 20 °C, the complex modulus decreased by 56% for the 3 wt% formulation and by 81% for the 9 wt% formulation compared with the base binder. High bio-oil contents increased accumulated deformation and strongly reduced recovery capacity, particularly under multiple-stress creep-recovery conditions, indicating lower resistance to permanent deformation. Intermediate-temperature tests also showed that 6 and 9 wt% bio-oil reduced mechanical resistance and recovery capacity, whereas the 3 wt% dosage provided a more balanced viscoelastic response. Slow pyrolysis of sheep manure therefore represents a promising circular route for producing a value-added bio-based modifier for bituminous binders, particularly at moderate dosages that balance softening efficiency and rheological performance.
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7. A district-level screening framework to prioritize decentralized food-waste recovery for landfill methane mitigation in Indonesia.
7. 一种区域级筛选框架：用于在印度尼西亚优先实施分散式食物废弃物回收以减缓垃圾填埋场甲烷排放PMID:日期:2026-09-26Where should Indonesia prioritize decentralized food-waste recovery to reduce landfill methane? This study develops a district-level screening framework that combines public waste records with decentralized infrastructure data to identify where food-waste methane-mitigation potential is high and where local system conditions make near-term intervention more plausible. Using 2024 SIPSN waste-generation, composition, and management records together with district-level Info3R infrastructure records, we estimate food waste exposed to low-management conditions, translate that burden into scenario-based methane-mitigation potential, and compare it with a decentralized system-presence proxy. To address the limits of facility-count data, we also rebuild the Info3R panel and test an organics-oriented sensitivity proxy based on TPS3R, composting, and energy-recovery records. The results show that mitigation opportunity is spatially concentrated and that broad decentralized infrastructure is not equivalent to organics-treatment readiness. The framework is intended as a transparent public-data screen for prioritizing follow-up validation, not as a direct measure of facility capacity or realized emissions.
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8. Integrated techno-economic and environmental assessment of pretreatment strategies for cotton-polyester textile waste valorization in Europe.
8. 欧洲棉涤纺织废物增值预处理策略的技术-经济与环境综合评估PMID:日期:2026-09-26This study presents an integrated techno-economic and life cycle assessment (LCA) of a biorefinery for the valorization of cotton-polyester textile waste (50/50 wt%) into LA, TPA, and EG under three pretreatment strategies: alkaline (NaCO), organosolv (NMMO), and acidic (HPO). The system processes 72,000 t/y of post-consumer textiles and is modelled using Aspen Plus and Aspen PEA for process simulation and economic evaluation, and SimaPro with ReCiPe 2016 for environmental assessment in accordance with ISO 14040/14044 standards. Results indicate that pretreatment selection significantly affects process performance. The alkaline route achieves the lowest total capital investment (133.60 M$), highest internal rate of return (29.1 %), and shortest payback period (3.34 years). The organosolv route produces the highest LA output (18,145 t/y), while the acidic route yields the highest TPA (25,715 t/y) and EG (8,214 t/y), but also the highest capital (202.34 M$) and operating costs (35.28 M$/y). The midpoint LCA results showed that the alkaline pathway generally had the lowest environmental impacts across most categories, although category-specific trade-offs were observed. The endpoint single scores were 50.07, 77.38, and 104.35 mPt/FU for LA; 40.69, 62.87, and 84.76 mPt/FU for TPA; and 29.43, 45.47, and 61.31 mPt/FU for EG for the alkaline, organosolv, and acidic pathways, respectively. Compared with conventional production, the evaluated pathways generally showed lower environmental burdens, although this advantage varied among products and pretreatment routes. Overall, the alkaline pathway demonstrated the most favorable environmental performance among the evaluated strategies.
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9. Getting on the policy agenda: the case of U.S. landfill mining (LFM) policy.
9. 进入政策议程：美国垃圾填埋场开采（LFM）政策案例PMID:日期:2026-09-26Waste management scholarship has increasingly incorporated public policy perspectives, yet much of this work remains focused on ex post evaluation of individual policies or programs. In this review article, we conduct a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA)-guided review of the landfill mining (LFM) public policy literature. The "policy barriers" approach in the LFM policy literature identifies important constraints, but it provides limited insight into how policy change occurs over time. In response, the Multiple Streams Framework (MSF), a policy process framework, is advocated as a means of explaining how LFM policies may gain traction. In addition to the MSF, other policy process frameworks are highlighted as potential for municipal solid waste (MSW) researchers and managers.
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10. Targeted adsorbent preparation under data-limited conditions: a transfer learning-driven inverse optimization framework.
PMID:日期:2026-09-26Despite extensive studies on the use of drinking water treatment sludge (DWS) for heavy metal adsorption, its application remains constrained by limited data availability in metal-specific DWS adsorption datasets and the lack of operating parameter determination under target concentration requirements. To address these challenges, a data-driven inverse optimization framework was developed to identify adsorption operating parameters of modified DWS under predefined equilibrium concentration targets. A machine learning-based forward prediction model incorporating transfer learning was trained using literature-derived adsorption datasets, and Bayesian optimization was employed to inversely screen feasible parameter combinations within a practically relevant parameter space, aiming to identify conditions capable of achieving predefined equilibrium concentration targets. Batch adsorption experiments demonstrated that the optimized conditions achieved complete removal of Pb and Cr, while reducing Cd concentration from 2 mg/L to 0.004 mg/L, corresponding to a removal efficiency of 99.8 %. Comparative tests indicated that additional activated carbon did not further enhance adsorption performance under the investigated conditions. Further results showed that Pb-optimized DWS maintained stable and efficient removal of Pb, Cr, and Cd in binary and ternary systems under near-neutral conditions (pH ≈ 6.4). Competitive adsorption and cyclic experiments suggested that Pb and Cr exhibited stronger surface binding characteristics, while Cd adsorption was more sensitive to background ions and repeated use. These results demonstrate that integrating transfer learning with inverse optimization provides a preliminary framework for parameter-oriented design of waste-derived adsorbents under small-sample conditions.